Deploying Models

You can host your trained machine learning models in the cloud and use the Cloud ML prediction service to infer target values for new data. This page discusses model hosting and prediction and introduces considerations you should keep in mind for your projects.

Model Deployment

Cloud ML Engine can host your models so that you can get predictions from them in the cloud. The process of hosting a saved model is called deployment. The prediction service manages the infrastructure needed to run your model at scale, and makes it available for online and batch prediction requests. This section describes model deployment.